---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_summarization_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# my_summarization_model

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1956
- Rouge1: 0.2007
- Rouge2: 0.1006
- Rougel: 0.1699
- Rougelsum: 0.1695
- Gen Len: 19.0

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 62   | 2.3847          | 0.1952 | 0.0958 | 0.1639 | 0.1635    | 19.0    |
| No log        | 2.0   | 124  | 2.3171          | 0.1997 | 0.0994 | 0.1688 | 0.1685    | 19.0    |
| No log        | 3.0   | 186  | 2.2786          | 0.1985 | 0.0992 | 0.1688 | 0.1685    | 19.0    |
| No log        | 4.0   | 248  | 2.2493          | 0.2004 | 0.1005 | 0.1695 | 0.1693    | 19.0    |
| No log        | 5.0   | 310  | 2.2326          | 0.1995 | 0.1018 | 0.1703 | 0.17      | 19.0    |
| No log        | 6.0   | 372  | 2.2189          | 0.1994 | 0.1001 | 0.1692 | 0.1688    | 19.0    |
| No log        | 7.0   | 434  | 2.2074          | 0.1999 | 0.1009 | 0.1692 | 0.1689    | 19.0    |
| No log        | 8.0   | 496  | 2.2018          | 0.1995 | 0.1003 | 0.1689 | 0.1685    | 19.0    |
| 2.4776        | 9.0   | 558  | 2.1969          | 0.2007 | 0.1003 | 0.1696 | 0.1693    | 19.0    |
| 2.4776        | 10.0  | 620  | 2.1956          | 0.2007 | 0.1006 | 0.1699 | 0.1695    | 19.0    |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1